refit_trac: Refit subject to sparsity constraints
In jacobbien/trac: Tree-based Aggregation of Compositional Data
Description
Usage
Arguments
Details
Description
Given output of trac, solves the least squares problem with
compositional constraint on the features selected by trac.
Usage
1
refit_trac(fit, Z, y, A, tol = 1e-05)
Arguments
fit
output of trac
Z, y, A
same arguments as passed to trac
tol
tolerance for deciding whether a gamma value is zero
Details
minimize_beta, beta0, gamma 1/(2n) || y - beta0 1_n - Z beta ||^2
subject to gamma_trac nonselected = 0, beta = A gamma, 1_p^T beta = 0
jacobbien/trac documentation built on Oct. 18, 2021, 9:30 p.m.
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Description Usage Arguments Details
Description
Given output of trac, solves the least squares problem with
compositional constraint on the features selected by trac.
Usage
1 | refit_trac(fit, Z, y, A, tol = 1e-05)
|
Arguments
fit |
output of trac |
Z, y, A |
same arguments as passed to |
tol |
tolerance for deciding whether a gamma value is zero |
Details
minimize_beta, beta0, gamma 1/(2n) || y - beta0 1_n - Z beta ||^2 subject to gamma_trac nonselected = 0, beta = A gamma, 1_p^T beta = 0
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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